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Ontology assisted query reformulation using the semantic and assertion capabilities of OWL-DL ontologies

Munir, Kamran; Odeh, Mohammed; McClatchey, Richard

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Authors

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Mohammed Odeh Mohammed.Odeh@uwe.ac.uk
Associate Professor in Software Engineering



Abstract

End users of recent biomedical information systems are often unaware of the storage structure and access mechanisms of the underlying data sources and can require simplified mechanisms for writing domain specific complex queries. This research aims to assist users and their applications in formulating queries without requiring complete knowledge of the information structure of the underlying data sources. To achieve this, query reformulation techniques and algorithms have been developed that can interpret ontology-based search criteria and associated domain knowledge in order to reformulate a relational query. These query reformulation algorithms exploit the semantic relationships and assertion capabilities of OWL-DL based domain ontologies. In this paper, this approach is applied to the integrated database schema of the EU funded Health-e-Child (HeC) project with the aim of providing ontology assisted query reformulation techniques to simplify the global access that is needed to millions of medical records across the UK and Europe. Copyright ©2008 ACM.

Citation

Munir, K., Odeh, M., & McClatchey, R. (2008). Ontology assisted query reformulation using the semantic and assertion capabilities of OWL-DL ontologies. . https://doi.org/10.1145/1451940.1451953

Conference Name ACM International Conference Proceeding Series
Conference Location Coimbra, Portugal
Start Date Sep 10, 2008
End Date Sep 12, 2008
Publication Date Dec 1, 2008
Deposit Date Nov 15, 2010
Publicly Available Date Nov 15, 2016
Volume 299
Pages 81-90
DOI https://doi.org/10.1145/1451940.1451953
Keywords relational databases, query formulation, domain ontology, domain metadata
Public URL https://uwe-repository.worktribe.com/output/1009115
Publisher URL http://dx.doi.org/10.1145/1451940.1451953
Related Public URLs http://portal.acm.org/citation.cfm?id=1451953

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